·738· 智能系统学报 第16卷 Conference,IAAI 2019,the 9th AAAI Symposium on bidirectional LSTM-CNNs[J].Transactions of the associ- Educational Advances in Artificial Intelligence.Honolulu, ation for computational linguistics,2016,4:357-370. United States,2019:3060-3067. [53]LU R.DUAN Z.Bidirectional GRU for sound event de- [45]TUAN Yilin,CHEN Y N,LEE H Y.DyKgChat:Bench- tection[C]//Detection and Classification of Acoustic marking dialogue generation grounding on dynamic Scenes and Events.[S.1.].2017:17-20. knowledge graphs[C]//Proceedings of 2019 Conference [54]CHUNG J,GULCEHRE C,CHO K H,et al.Empirical on Empirical Methods in Natural Language Processing evaluation of gated recurrent neural networks on se- and the 9th International Joint Conference on Natural quence modeling[J].(2020-01-01)[2020-05-01]https:/ Language Processing.Hong Kong,China,2019: arxiv.org/abs/1412.3555. 1855-1865. 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[47]XIE Qizhe,MA Xuezhe,DAI Zihang,et al.An inter- [56]JIANG Tianwen,ZHAO Tong,QIN Bing,et al.The role pretable knowledge transfer model for knowledge base of "Condition":a novel scientific knowledge graph rep- completion[C]//Proceedings of the 55th Annual Meeting resentation and construction model[C]//Proceedings of the of the Association for Computational Linguistics.Van- 25th ACM SIGKDD International Conference on Know- couver,Canada,2017:950-962. ledge Discovery Data Mining.Anchorage,United [48]BAHDANAU D,CHO K,BENGIO Y.Neural machine States,2019:1634-1642 translation by jointly learning to align and translate[Cl// 作者简介： Proceedings of the 3rd International Conference on Learn- 陈新元，讲师，主要研究方向为 ing Representations.San Diego,USA,2014. NLP、知识表达与推理。主持并参与 [49]VASWANI A,SHAZEER N,PARMAR N,et al.Atten- 省市级科研课题10余项，主持横向课 tion is all you need[C]//Advances in Neural Information 题多项。发表学术论文10余篇。 Processing Systems 30.Long Beach,USA,2017:5998- 6008. [50]WANG Xiang,WANG Dingxian,XU Canran,et al.Ex- plainable reasoning over knowledge graphs for recom- 谢晟袆，高级工程师，主要研究方 mendation[C]//Proceedings of the 33rd AAAI Confer- 向为人工智能、机器视觉。参与省级 ence on Artificial Intelligence,AAAI 2019,the 31st In- 科研课题1项，主持市厅级课题 2项。发表学术论文7篇。 novative Applications of Artificial Intelligence Confer- ence,IAAI 2019,the 9th AAAI Symposium on Educa- tional Advances in Artificial Intelligence.New York, United States,2019:5329-5336. [51]GRAVES A,MOHAMED A R,HINTON G.Speech re- 陈庆强，教授，主要研究方向为图 像处理、知识推理。发表学术论文 cognition with deep recurrent neural networks[C]//Pro- 10余篇。 ceedings of 2013 IEEE International Conference on Acoustics,Speech and Signal Processing.Vancouver, Canada.2013:6645-6649. [52]CHIU J PC,NICHOLS E.Named entity recognition withConference, IAAI 2019, the 9th AAAI Symposium on Educational Advances in Artificial Intelligence. Honolulu, United States, 2019: 3060−3067. TUAN Yilin, CHEN Y N, LEE H Y. DyKgChat: Bench￾marking dialogue generation grounding on dynamic knowledge graphs[C]//Proceedings of 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing. Hong Kong, China, 2019: 1855−1865. [45] GREFF K, SRIVASTAVA R K, KOUTNÍK J, et al. LSTM: A search space odyssey[J]. IEEE transactions on neural networks and learning systems, 2017, 28(10): 2222–2232. [46] XIE Qizhe, MA Xuezhe, DAI Zihang, et al. An inter￾pretable knowledge transfer model for knowledge base completion[C]//Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics. Van￾couver, Canada, 2017: 950−962. [47] BAHDANAU D, CHO K, BENGIO Y. Neural machine translation by jointly learning to align and translate[C]// Proceedings of the 3rd International Conference on Learn￾ing Representations. San Diego, USA, 2014. [48] VASWANI A, SHAZEER N, PARMAR N, et al. Atten￾tion is all you need[C]//Advances in Neural Information Processing Systems 30. Long Beach, USA, 2017: 5998− 6008. [49] WANG Xiang, WANG Dingxian, XU Canran, et al. Ex￾plainable reasoning over knowledge graphs for recom￾mendation[C]//Proceedings of the 33rd AAAI Confer￾ence on Artificial Intelligence, AAAI 2019, the 31st In￾novative Applications of Artificial Intelligence Confer￾ence, IAAI 2019, the 9th AAAI Symposium on Educa￾tional Advances in Artificial Intelligence. New York, United States, 2019: 5329−5336. [50] GRAVES A, MOHAMED A R, HINTON G. Speech re￾cognition with deep recurrent neural networks[C]//Pro￾ceedings of 2013 IEEE International Conference on Acoustics, Speech and Signal Processing. Vancouver, Canada, 2013: 6645−6649. [51] [52] CHIU J P C, NICHOLS E. Named entity recognition with bidirectional LSTM-CNNs[J]. Transactions of the associ￾ation for computational linguistics, 2016, 4: 357–370. LU R, DUAN Z. Bidirectional GRU for sound event de￾tection[C]//Detection and Classification of Acoustic Scenes and Events. [S. l.]. 2017: 17−20. [53] CHUNG J, GULCEHRE C, CHO K H, et al. Empirical evaluation of gated recurrent neural networks on se￾quence modeling[J]. (2020-01-01)[2020-05-01] https:// arxiv.org/abs/1412.3555. [54] KINGMA D P, BA J. Adam: a method for stochastic op￾timization[C]//Proceedings of the 3rd International Con￾ference on Learning Representations. San Diego, USA, 2014: 604−612 [55] JIANG Tianwen, ZHAO Tong, QIN Bing, et al. The role of "Condition": a novel scientific knowledge graph rep￾resentation and construction model[C]//Proceedings of the 25th ACM SIGKDD International Conference on Know￾ledge Discovery & Data Mining. Anchorage, United States, 2019: 1634−1642. [56] 作者简介： 陈新元，讲师，主要研究方向为 NLP、知识表达与推理。主持并参与 省市级科研课题 10 余项，主持横向课 题多项。发表学术论文 10 余篇。 谢晟祎，高级工程师，主要研究方 向为人工智能、机器视觉。参与省级 科研课 题 1 项，主持市厅级课 题 2 项。发表学术论文 7 篇。 陈庆强，教授，主要研究方向为图 像处理、知识推理。发表学术论文 10 余篇。 ·738· 智 能 系 统 学 报 第 16 卷